FP&A Systems Analyst

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Junior
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software
The Role
Supports FP&A through weekly and monthly forecasting, cash flow updates, financial model and tracker maintenance, variance analysis, dashboards, and executive reporting. The role also assists with M&A diligence, board and investor materials, data reconciliation, ad hoc analysis, and workbook process discipline. Success requires strong spreadsheet skills, finance fundamentals, accuracy, clear communication, and the ability to manage high-volume deadlines.
Summary Generated by Built In

Who are we?
RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

Role Overview

The FP&A Analyst is the execution layer of the FP&A team. The role exists to do the volume work that keeps the function running every week: data pulls, workbook refreshes, model updates, reconciliations, slide builds, and number checks. The analyst will work directly with the Head of FP&A, the FP&A Manager, and the Financial Modelling Analyst, supporting each of them on their workstreams.

The work spans five recurring areas:

  • Weekly and monthly forecast cycles. Variance refresh, pacing reconciliation, cash forecast updates, pipeline cross-checks.

  • Models and trackers. Maintain the FY26 to FY28 model, the AOP, the cash forecast, the publisher rebate tracker, the DSP margin builder, the software and subscription tracker, the headcount file, and other recurring workbooks.

  • M&A and corporate development support. Data room organisation, comparable analysis pulls, target lists, Q&A trackers, synergy schedule maintenance.

  • Board, investor, and parent-co reporting. Number sourcing, slide formatting, trace-back documentation, first-pass variance commentary for board books, MBR/QBR decks, and Skillz HQ requests.

  • Dashboards and ad hoc analysis. Build and refresh executive dashboards. Turn around fast-cycle data requests from Aman, Avi, and Jeff.The role is execution-heavy by design. The right candidate is someone who is happy spending the first twelve months getting the recurring work clean, accurate, and on time, and who earns broader scope by being reliable at the basics.

Key Responsibilities1. Weekly and Monthly Forecast Cycles
  • Refresh the weekly forecast variance workbook (three-tab format) by pulling pacing data, updating prior-week cuts, and producing forecast versus actual deltas.
  • Pull and clean HubSpot pipeline exports each week. Apply stage-based exclusions, owner mapping, and probability weights as defined in the FP&A SOP. Override Prospecting to 5 percent and apply the launch-date threshold filter consistent with the existing model.
  • Update the 17-week rolling cash forecast each week with bank balances, AR/AP feeds, and the prior-cycle variance section.
  • Refresh the monthly rolling forecast at month-end with new actuals, OPEX phasing, and revenue updates.
  • Build first-pass variance commentary for the Head of FP&A to review.
2. Models and Tracker Maintenance
  • Maintain the FY26 to FY28 driver-based financial model with monthly refreshes for actuals, headcount changes, and assumption updates.
  • Keep the AOP model current as approved hires, salary changes, and OPEX shifts are confirmed.
  • Refresh the publisher rebate tracker each quarter against signed contracts and AR/AP files (InMobi, Vungle/Liftoff, Verve, Chartboost, AdWake).
  • Update the DSP margin builder with new client and platform data, including the Client Views, Client Lookup, Summary, and Data tabs.
  • Refresh the software and subscription tracker monthly using the NetSuite GL extract.
  • Maintain the headcount file: starts, leaves, transfers, salary changes, bonus eligibility, seat status.
  • Update the AIN sunset tracker through the run-off period.
3. M&A and Corporate Development Support
  • Build and maintain target screening lists for inbound and outbound deal activity at RZR and Skillz.
  • Pull comparable transaction and trading comp data from public sources to support valuation analysis.
  • Organise and maintain data rooms during diligence cycles: index, populate, version, and audit.
  • Maintain Q&A trackers and follow-up logs for live diligence.
  • Update synergy schedules and integration cost trackers as inputs come in from operators.
  • Support post-close synergy realisation tracking with monthly refreshes.
  • The deeper modelling, valuation judgement, and deal narrative remain with the Head of FP&A and the VP Finance. The analyst is expected to keep the supporting infrastructure clean and on time.
4. Board, Investor, and Parent Reporting
  • Pull source numbers for board deck financial slides (revenue, margin, EBITDA, cash, headcount). Document trace-back for every figure.
  • Format board, MBR, and QBR slides to RZR brand standards (Midnight Reactor #0B1220, Ignition Orange #FF7000, Acquisition Blue #01A1F1).
  • Build first drafts of variance commentary for the Head of FP&A or VP Finance to refine.
  • Prepare data packs for Skillz HQ monthly and quarterly reporting.
  • Turn around ad hoc investor and board data requests on same-day or next-day SLAs.
5. Dashboards and Ad Hoc Analysis
  • Build and refresh executive dashboards covering revenue, margin, pacing, cash, and headcount.
  • Document data lineage, refresh cadence, and known caveats for every dashboard.
  • Run ad hoc analysis for Aman, Avi, Jeff, and the Head of FP&A: bonus calculations, salary calibration refreshes, OPEX deep dives, client-level margin queries, hiring plan refreshes, cost-benefit analyses (e.g. Beeswax versus in-house bidder builds).
  • Convert recurring Excel reports into dashboards where the cadence and data stability justify the build.
6. Process Discipline
  • Hold the line on workbook hygiene: minimal hardcoding, centralised assumptions, version control, clear input/output flow.
  • Follow naming conventions, formatting, and tab structure across all FP&A files.
  • Document every recurring workbook with a one-page logic memo so no file is a single point of failure.
  • Catch errors before they leave the team. The analyst is the last line of defence on any number that goes to the CFO, CEO, board, or Skillz.
Required Skills and Experience

Must-Have

  • 1 to 3 years of experience in FP&A, audit, transaction services, investment banking, corporate finance, or equivalent. Open to strong fresh CA, MBA, or post-graduate finance candidates with relevant internship experience.
  • Strong Excel and Google Sheets fluency: SUMIFS, XLOOKUP, INDEX/MATCH, IFERROR, conditional logic, pivot tables, dynamic ranges.
  • Solid finance fundamentals: revenue recognition, accruals and prepaids, working capital, EBITDA, basic cash flow concepts.
  • Comfort with raw data: cleaning, reconciling, and pivoting GL or pipeline extracts without losing accuracy.
  • Attention to detail. Must be able to spot a number that does not foot before someone senior asks the question.
  • Comfortable with high-volume, deadline-driven work and frequent priority shifts.
  • Clear written communication. The analyst will draft commentary, write source memos, and email cross-functional partners every week.

Nice-to-Have

  • Exposure to mobile advertising, programmatic DSPs, gaming, AdTech, or subscription/SaaS business models.
  • SQL or Python at a basic level for raw-data extraction.
  • BI tool experience: Power BI, Tableau, Looker, or similar.
  • Prior support of board reporting, investor materials, or M&A diligence.
  • Familiarity with NetSuite, HubSpot, or other ERP/CRM extracts.
  • CA, CFA Level 1 or 2, or an MBA finance specialisation.
 

Skills Required

  • 1 to 3 years of experience in FP&A, audit, transaction services, investment banking, corporate finance, or equivalent
  • Strong Excel and Google Sheets fluency, including SUMIFS, XLOOKUP, INDEX/MATCH, IFERROR, conditional logic, pivot tables, and dynamic ranges
  • Solid finance fundamentals, including revenue recognition, accruals, prepaids, working capital, EBITDA, and basic cash flow concepts
  • Experience cleaning, reconciling, and pivoting general ledger or pipeline data accurately
  • Strong attention to detail and ability to identify reconciliation errors
  • Ability to manage high-volume, deadline-driven work and frequent priority shifts
  • Clear written communication skills for commentary, source memos, and cross-functional emails
  • Exposure to mobile advertising, programmatic DSPs, gaming, AdTech, or subscription/SaaS business models
  • Basic SQL or Python skills for raw-data extraction
  • Experience with Power BI, Tableau, Looker, or a similar BI tool
  • Experience supporting board reporting, investor materials, or M&A diligence
  • Familiarity with NetSuite, HubSpot, or other ERP/CRM extracts
  • CA, CFA Level 1 or 2, or an MBA with a finance specialization
  • Strong fresh CA, MBA, or postgraduate finance candidates with relevant internship experience may be considered
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The Company
HQ: San Francisco, California
65 Employees

What We Do

RZR powers performance for the world's most ambitious brands through proprietary neural architecture that optimizes across user acquisition, retargeting, CTV, and influencer campaigns as one connected performance system. With four owned-and-operated data centers that process 6M+ queries per second, RZR turns signals into strategy and impressions into impact. Trusted by brands across gaming, consumer, food and beverage, retail, and entertainment. Built on over a decade of performance data and backed by AI and ML experts and industry veterans across offices in San Francisco, New York, London, Bangalore, Beijing, Manila, and Seoul. RZR delivers retention-led growth intelligence: faster, sharper, and built for performance at scale.

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